WELD DATA

The weld classification dataset contains a variety of high-resolution images that capture a wide range of weld types and conditions common in industrial environments. The dataset includes samples from a variety of welding processes, such as arc welding, laser welding, and resistance spot welding, representing a variety of materials, including steel, aluminum, and titanium alloys. Each image is carefully labeled by experienced welding inspectors, classifying welds according to quality (e.g., acceptable, defective), type (e.g., butt, fillet, lap) and specific defects (e.g., porosity, cracks, non-fusion). The dataset features welds in different orientations and under different lighting conditions to simulate real-world inspection scenarios. In addition, it combines challenging situations such as welds with subtle defects, complex geometry, and subject to surface contamination or oxidation. This comprehensive dataset not only serves as a powerful benchmark for evaluating weld classification algorithms, but also facilitates the development of models that can handle the complexity and variability in industrial welding applications.